review-ai-writing

review-ai-writing is a skill for Claude Code from existential-birds/beagle. It costs 75 tokens per session (4,331 once invoked), scanned A, original, Apache-2.0.

A review guide for detecting writing that may have been generated by an AI tool in developer text. It examines documentation, comments, commit messages, pull-request descriptions, and similar text for robotic or unclear patterns.

In plain words
What is it for?
Use it to review changed files or a whole codebase, optionally focusing on content, vocabulary, formatting, communication, filler, or code documentation.
Why use it?
It helps make technical writing sound more natural, specific, and useful to the people maintaining the code.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Part of the beagle-docs plugin — 10 skills shipped together

Good fit Use it to review changed files or a whole codebase, optionally focusing on content, vocabulary, formatting, communication, filler, or code documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/existential-birds/beagle/review-ai-writing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add existential-birds/beagle --skill review-ai-writing
Clone the repo
git clone --depth 1 https://github.com/existential-birds/beagle

Made for: Claude Code.

Or install beagle-docs, the plugin that ships this one along with the rest of its 10 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-ai-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/existential-birds/beagle/review-ai-writing/github.svg)](https://agentmods.dev/skills/existential-birds/beagle/review-ai-writing)
Your own site
<a href="https://agentmods.dev/skills/existential-birds/beagle/review-ai-writing"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/review-ai-writing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-ai-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/existential-birds/beagle/review-ai-writing"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/review-ai-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,331 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.04331
Opus 5.5 $0.00030 $0.01732
Sonnet 5.5 $0.00015 $0.00866
Haiku 4.5 $0.00007 $0.00433

Measured 1mo ago against content hash bf84024e6a4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-ai-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/beagle-docs/skills/review-ai-writing/SKILL.md · 424 lines

How it starts

The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review AI Writing

Detect AI-generated writing patterns across developer text artifacts, parallelizing across artifact groups when the agent supports it.

Usage

Invoke the review-ai-writing skill with optional flags: review-ai-writing [--all] [--category <name>] [path].

Flags:

  • --all - Scan entire codebase (default: changed files from main)
  • --category <name> - Only check specific category: content|vocabulary|formatting|communication|filler|code_docs
  • Path: Target directory (default: current working directory)

Instructions

1. Parse Arguments

Extract flags from $ARGUMENTS:

  • --all - Full codebase scan
  • --category <name> - Filter to specific category
  • Path - Target directory

2. Load Skills

Load the review-verification-protocol skill before reporting findings. The AI-writing pattern catalog lives in this file's Reference Material section and the references/*.md files — read the categories you intend to check.

3. Determine Scope

# Default: changed files from main
git diff --name-only $(git merge-base HEAD main)..HEAD

# If --all flag: scan all text artifacts
find . -type f \( -name "*.md" -o -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" -o -name "*.go" -o -name "*.rs" -o -name "*.java" -o -name "*.rb" -o -name "*.swift" -o -name "*.kt" -o -name "*.ex" -o -name "*.exs" \) ! -path "*/node_modules/*" ! -path "*/.git/*" ! -path "*/vendor/*" ! -path "*/__pycache__/*" ! -path "*/dist/*" ! -path "*/build/*"

If no files found, exit with: "No files to scan. Check your branch has changes or use --all."

4. Check for Existing LLM Artifacts Review

# Check if llm-artifacts review exists to avoid double-flagging
if [ -f .beagle/llm-artifacts-review.json ]; then
  echo "Found existing llm-artifacts review — will skip overlapping findings"
fi

Parse existing findings from .beagle/llm-artifacts-review.json if present. When consolidating, skip any finding where both the file:line and pattern type match an existing llm-artifacts finding (specifically verbose_comment and over_documentation types).

Read the full file on GitHub · 424 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 424 lines · 75 tokens per session scan A bf84024e6a4d

Subscribe to this mod's changes

review-ai-writing is a skill published in the GitHub repository existential-birds/beagle (82 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 4,331 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-16.

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